1. Single-cell transcriptomics for microbial eukaryotes
Martin Kolisko, Vittorio Boscaro, Fabien Burki, Denis H. Lynn, Patrick J. Keeling 
Current Biology 
Volume 24, Issue 22, Pages R1081-R1082 (November 2014)
DOI: /j.cub
Copyright © 2014 Elsevier Ltd Terms and Conditions

2. Figure 1
Comparison of single-cell and mass-culture transcriptomes from five species.
(A) Summary of the general characteristics of the single-cell transcriptome data sets, including levels of identifiable contamination (left columns, see also Figure S1), estimation of completeness by comparison with two sets of generally universally present housekeeping genes (middle columns), and a direct comparison of the efficiency of gene discovery with culture-based transcriptome data (right column; the three numbers in brackets represent from left to right: the transcripts shared, those unique to the single-cell data, and those unique to the culture data). (B) Summary of bias (over-representation) of five single-cell transcriptomes (colour coded to the right). The graph shows a log-scale bar chart with the percentage of reads mapping to each contig from each species. Along the X-axis are bars that each represent a contig (colour coded depending on the species). Because there are >10,000 contigs per species, they are packed closely together and are not each visible as discrete bars (except in the blow-up of the top end). The height of each bar (the Y-axis) is a log-scale percentage of reads that map against that particular contig. Contigs are sorted so that moving from left to right corresponds to the largest number of the reads mapped to lowest number of the reads mapped. The blow-up expands the upper portion showing the most over-represented contigs from each species, which vary from as low as 8% in Condylostoma to as high as 90% in Tetrahymena.
Current Biology  , R1081-R1082DOI: ( /j.cub )
Copyright © 2014 Elsevier Ltd Terms and Conditions